7 citations · 16 across the 5 of their papers we have counts for
5 papers
Fast simulation mapping: from standard to modified gravity cosmologies using the bias assignment method
Jorge Enrique García-Farieta, Andrés Balaguera-Antolínez, Francisco-Shu Kitaura
We assess the effectiveness of a non-parametric bias model in generating mock halo catalogues for modified gravity (MG) cosmologies, relying on the distribution of dark matter from…
The Hierarchical Cosmic Web and Assembly Bias
J. M. Coloma-Nadal, F. -S. Kitaura, J. E. García-Farieta +3
Accurate modeling of galaxy distributions is paramount for cosmological analysis using galaxy redshift surveys. However, this endeavor is often hindered by the computational comple…
A comprehensive modelling and experimental approach for damped oscillations in U-tubes via Easy JavaScript Simulations
Fredy A Orjuela, Jorge Enrique García-Farieta, Héctor J Hortúa +1
In recent years, science simulations have become popular among educators due to their educational usefulness, availability, and potential for increasing the students' knowledge on…
Dynamics of pairwise motions in the fully non-linear regime in LCDM and Modified Gravity cosmologies
Mariana Jaber, Wojciech A. Hellwing, Jorge E. García-Farieta +2
In contrast to our understanding of density field tracers, the modelling of direct statistics pertaining to the cosmic velocity field remains open to significant opportunities for…
Bayesian deep learning for cosmic volumes with modified gravity
Jorge Enrique García-Farieta, Héctor J Hortúa, Francisco-Shu Kitaura
The new generation of galaxy surveys will provide unprecedented data allowing us to test gravity at cosmological scales. A robust cosmological analysis of the large-scale structure…